Altmetrics: a primer Where does the data come from? Can it be gamed? Buy in or build your own? Mike...
Transcript of Altmetrics: a primer Where does the data come from? Can it be gamed? Buy in or build your own? Mike...
Altmetrics: a primerWhere does the data come from?
Can it be gamed?Buy in or build your own?
Mike TaylorResearch Specialist
http://orcid.org/[email protected]
• Alternative metrics, altmetrics, article data, usage data, assessments, metrics, impact, understanding, attention, reach…
• If this seems confusing…• Altmetrics is at the big bang stage – this
universe has not yet cooled down and coalesced
Some words on terms
• A set of altmetric data is about a common document and represents usage, recommendation, shares, re-usage
• Identified by DOI, URL, shortened URL, other ID (eg Arxiv, Pubmed)
• It does not show common intent: a tweet is not the same as a Mendeley share is not the same as a Data Dryad data download is not the same as mass media coverage or a blog
What is the data?
• Altmetric.com• Kudos• Plum Analytics• PLOS / PLOS code• Impactstory.org• Altmetrics is not Altmetric.com
Each has strengths and weaknesses,no canonical source
Various providers…
• Scopus donut• Sciencedirect• Scival and Pure• We’re looking to improve the ‘donut’• “Altmetric.com score” can probably be more
useful
Elsevier uses Altmetric.com
• Altmetrics isn’t one thing, so attempting to express it as one thing will fail.
• We favour intelligent clusters of data: social activity, mass media, scholarly activity, scholarly comment, re-use
• Elsevier believes that more research is needed, and that best indicators are scholarly activity and scholarly comment
Bringing together sources…
The more data we can see
• The bigger the picture
scholarly activity (mean)
scholarly comment (mean)
log(social activity (mean))
mas media (mean)
• If people take this data seriously, will they cheat?• Eg, Brazilian citation scandal, strategies used by people
to increase IF of journals• Expertise in detecting fraudulent downloads (eg, SSRN),
self-tweeting – when is ‘normal’ corrupt?• One thing to buy 1000 tweets, another to buy 10 blogs,
or mass media coverage• Do those twitter accounts have scholarly followers? • Pattern analysis, usage analysis, network analysis• Public data = public analysis = public response
Gaming / cheating
• Biggest criticisms are when people try and conflate all the data into a single thing
• Easy point of attack – tweets are all about “sex and drugs and rock ‘n’ roll papers”*
• Using clusters is more intelligible to academic community – eg, re-use, scholarly activity, scholarly comment (blogs, reviews, discussions)
• * this isn’t true anyway
Other criticisms
• Altmetrics has got where it is today on the basis of standards
• Without ISSNs and DOIs, the world is a harder place x 1000
• Elsevier is supporting research to discover scholarly impact in areas that don’t use DOIs
• (Other standards exist: PubMed IDs, Arxiv IDs)
Making altmetrics work
• Increasingly, we’re seeing altmetrics being used to describe objects other than articles, but also institutions, books, journals, data and people
• For institutions, Snowball Metrics has recently adopted the same formulation for grouping altmetrics as Elsevier (www.snowballmetrics.com)
Expanding views of altmetrics
• More funders are insisting on open data• And the way to understand whether its being
used … is data metrics – combining altmetrics and traditional (web-o-)metrics
• Downloads, citations, shares, re-uses…• Downside: data repository is fragmented, 600+
repositories registered at databib.org• Upside: Datacite, ODIN, ORCID, DOI, RDA,
Draft Declaration of Data Citation Principles
Making data count
• Governments don’t operate like scholars• Rhetoric, argument, polemics• Personal reputation is important• Laws don’t contain citations• The relationship is fuzzy – less a chain of
evidence, more a miasma of influence• Elsevier is sponsoring work to understand this
relationship
Measuring the effect of research on society
• Being deployed across our platforms• Engaging with thought leadership• Promoting open metrics• Acceptance research• Academic research• Sponsoring research in cutting-edge
technology• LibraryConnect, www.researchtrends.com
Elsevier and alternative metrics